{"id":"W4319334392","doi":"10.1001/jama.2022.23968","title":"Association Between Drug Characteristics and Manufacturer Spending on Direct-to-Consumer Advertising","year":2023,"lang":"en","type":"article","venue":"JAMA","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Direct-to-consumer advertising; Medicine; Beneficiary; Prescription drug; Food and drug administration; Medical prescription; Advertising; Drug; Marketing; Family medicine; Environmental health; Business; Finance; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008814356,0.0001440597,0.0001561551,0.001196985,0.0001271834,0.0005848219,0.0001798341,0.0002503008,0.003520212],"category_scores_gemma":[0.003954284,0.0001757409,0.0004893366,0.001652286,0.0001701396,0.0003861851,0.0003437534,0.000284839,0.0003978507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301697,"about_ca_system_score_gemma":0.0003085221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385367,"about_ca_topic_score_gemma":0.005993767,"domain_scores_codex":[0.9994712,0.0001720108,0.0000733868,0.00009808276,0.0001277773,0.00005751029],"domain_scores_gemma":[0.9922118,0.001938481,0.004876365,0.0002325019,0.0003058781,0.0004349408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001069458,0.00001320912,0.9986155,0.00001262773,0.0000581685,0.000009640566,0.000009669412,0.00005570963,0.0000711942,0.00001216106,0.00008500044,0.0009502487],"study_design_scores_gemma":[0.000002332234,0.0000312093,0.9995973,0.00000558605,0.00001840446,0.00005457026,0.00001709294,0.00008874658,0.00003698996,0.00000526668,0.0001413808,0.000001300575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953573,0.0006819426,0.00009461521,0.0000853613,0.000002830111,0.000009278717,0.002574067,0.000006573192,0.001187938],"genre_scores_gemma":[0.9972706,0.0002858521,0.0001135691,0.00003292031,0.0000102887,0.00001089857,0.002003562,0.000004127568,0.0002680299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003520212,"threshold_uncertainty_score":0.01177633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2413928189857826,"score_gpt":0.4971189649780765,"score_spread":0.2557261459922939,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}